---
language:
- en
tags:
- mctd
- embodied-agents
- alfworld
- scienceworld
- plancraft
- eb-habitat
---

# MCTD training resources

Versioned resource packs for the MCTD `github_release` training/evaluation code.
Extract paths are relative to the release root. Use its
`python scripts/download_resources.py --environment all --with-pretrained`
instead of manually moving files. `resources.json` records SHA-256, sizes,
destinations and quality flags for every file. These archives are not an
automatic Hugging Face `load_dataset` table.

| Teacher dataset | Successful episodes | Steps |
|---|---:|---:|
| ALFWorld | 3,553 | 37,471 |
| ScienceWorld | 874 | 17,302 |
| PlanCraft | 1,145 | 8,839 |
| EB-Habitat (custom text-only) | 1,720 | 14,989 |

These are collected and hindsight-supplemented trajectories retained by the
project's validated export. Publication verifies JSON parsing, index counts,
and `success=true, done=true`; it does not independently replay each episode.
Only use training tasks for gradient updates. The repository also contains
student-compatible command tables and PlanCraft official-planner trajectories.
Small official resources and evaluation protocols are shipped with the code.

## Supervision quality and provenance

Successful task completion does **not** establish that every reasoning field
is correct or complete. Preserve and honor per-step quality/availability flags.
Do not treat absent curves as teacher probabilities or invent missing E+C.

| Dataset | Hindsight/answer-conditioned steps | Truncated reasoning steps | Known missing E+C steps |
|---|---:|---:|---:|
| ALFWorld | 10,149 | 31 | 0 |
| ScienceWorld | 1,677 | 96 | 379 |
| PlanCraft | 6,848 | 114 | 0 |

Some legacy eligibility flags remain true on truncated steps (30 ALFWorld,
90 ScienceWorld, 1 PlanCraft); consumers must also check the quality flags.
The original manifests and supervision payloads are preserved, not repaired
or re-generated during upload. Model tags used for dataset management are
not necessarily the actual generator identity. The data combines multiple
collection/supplementation runs and model backends; consult generator and
provenance fields rather than treating all annotations as a single Qwen run.
Intermediate E+C may be student-scored rather than teacher-scored.

## External resources and rights

Base model weights are **not** hosted here. Obtain Qwen3-1.7B and
Qwen3-30B-A3B-Instruct-2507 from the official Qwen repositories.
ALFWorld raw task runtime archives are downloaded directly from the official
[ALFWorld releases](https://github.com/alfworld/alfworld/releases), not mirrored
here. Upstream references:
[ALFWorld](https://github.com/alfworld/alfworld),
[ScienceWorld](https://github.com/allenai/ScienceWorld),
[PlanCraft](https://github.com/gautierdag/plancraft).
Environment-derived material remains subject to its upstream terms, and
generated content to applicable provider terms. This card does not grant a
new blanket license or assert ownership of third-party environments/content.

This snapshot is for reproducible research, not a new benchmark split or an
independent accuracy claim. It contains no API credentials or optimizer states.

## Habitat extension (2026-09-09)

The Habitat package adds 1,720 successful trajectories across 254 training tasks,
the immutable 300-task protocol (254 train / 46 test), the 70-action vocabulary,
and verified expert records. This is a custom text-only, outcome-selected protocol,
not the official visual EB-Habitat split. Preserve simulator episode mappings.
The dataset contains 75 collected and 1,645 hindsight trajectories; original
provenance and quality fields are retained. Its manifest reports E+C for all
1,720 episodes, not an independent guarantee of the correctness of each annotation.

The raw official model-rollout archive is available from
[EmbodiedBench/EB-Habitat_trajectory_dataset](https://huggingface.co/datasets/EmbodiedBench/EB-Habitat_trajectory_dataset)
at revision `d391eba8684b0de0c4f37a223e69237c91444209`.
Simulator sources and ReplicaCAD/YCB/Fetch assets are fetched from pinned official
upstreams by `scripts/setup_conda.sh eb-habitat`; they are not mirrored here.
No failed raw-collection workdir, empty command-table placeholder or credentials
are included. Latent SFT constructs its real command table from the installed
student once. Use `python scripts/download_resources.py --environment eb-habitat`.